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 <channel rdf:about="http://ebiquity.umbc.edu//tags/html/?t=covid-19">
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  <title><![CDATA[UMBC ebiquity RSS Tag Search]]></title>
  <link><![CDATA[http://ebiquity.umbc.edu//tags/html/?t=covid-19]]></link>
  <description><![CDATA[UMBC ebiquity RSS Tag Search for covid-19]]></description>
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      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1057/Towards-Semantic-Exploration-of-Tables-in-Scientific-Documents"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1051/A-Practical-Entity-Linking-System-for-Tables-in-Scientific-Literature"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/1011/A-Semantic-Framework-for-Secure-and-Efficient-Contact-Tracing-of-Infectious-Diseases"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/992/A-Policy-Driven-Approach-to-Secure-Extraction-of-COVID-19-Data-From-Research-Papers"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/976/A-Semantically-Rich-Knowledge-Graph-to-Automate-HIPAA-Regulations-for-Cloud-Health-IT-Services"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/947/A-Framework-for-Situation-Aware-Access-Control-in-Federated-Data-as-a-Service-Systems-Based-on-Query-Rewriting"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/924/Independent-Component-Analysis-for-Trustworthy-Cyberspace-during-High-Impact-Events-An-Application-to-Covid-19"/>
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 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1057/Towards-Semantic-Exploration-of-Tables-in-Scientific-Documents">
  <title><![CDATA[Towards Semantic Exploration of Tables in Scientific Documents]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1057/Towards-Semantic-Exploration-of-Tables-in-Scientific-Documents</link>
  <description><![CDATA[Structured data artifacts such as tables are widely used in scientific literature to organize and concisely communicate important statistical information. Discovering relevant information in these tables remains a significant challenge owing to their structural heterogeneity, dense and often implicit semantics, and diffuse context. This paper describes how we leverage semantic technologies to enable technical experts to search and explore tabular data embedded within scientific documents. We ...]]></description>
  <dc:date>2023-05-28</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1051/A-Practical-Entity-Linking-System-for-Tables-in-Scientific-Literature">
  <title><![CDATA[A Practical Entity Linking System for Tables in Scientific Literature]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1051/A-Practical-Entity-Linking-System-for-Tables-in-Scientific-Literature</link>
  <description><![CDATA[Entity linking is an important step towards constructing knowledge graphs that facilitate advanced question answering over scientific documents—including the retrieval of relevant information included in tables within these documents. This paper introduces a general-purpose system for linking entities to items in the Wikidata knowledge base. It describes how we adapt this system for linking domain-specific entities, especially for those entities embedded within tables drawn from COVID-19-re...]]></description>
  <dc:date>2023-02-14</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/1011/A-Semantic-Framework-for-Secure-and-Efficient-Contact-Tracing-of-Infectious-Diseases">
  <title><![CDATA[A Semantic Framework for Secure and Efficient Contact Tracing of Infectious Diseases]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/1011/A-Semantic-Framework-for-Secure-and-Efficient-Contact-Tracing-of-Infectious-Diseases</link>
  <description><![CDATA[Contact tracing is the process of identifying people who came into contact with an infected person (``case'') and collecting information about these contacts. Contact tracing is an essential part of public health infrastructure and slows down the spread of infectious diseases. Existing contact tracing methods are extremely time and labor-intensive due to their reliance on manually interviewing cases, contacts, and locations visited by cases. Additionally, complex privacy regulations mean that...]]></description>
  <dc:date>2021-12-09</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/992/A-Policy-Driven-Approach-to-Secure-Extraction-of-COVID-19-Data-From-Research-Papers">
  <title><![CDATA[A Policy-Driven Approach to Secure Extraction of COVID-19 Data From Research Papers]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/992/A-Policy-Driven-Approach-to-Secure-Extraction-of-COVID-19-Data-From-Research-Papers</link>
  <description><![CDATA[The entire scientific and academic community has been mobilized to gain a better understanding of the COVID-19 disease and its impact on humanity. Most research related to COVID-19 needs to analyze large amounts of data in very little time. This urgency has made Big Data Analysis, and related questions around the privacy and security of the data, an extremely important part of research in the COVID-19 era. The White House OSTP has, for example, released a large dataset of papers related to CO...]]></description>
  <dc:date>2021-08-12</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/976/A-Semantically-Rich-Knowledge-Graph-to-Automate-HIPAA-Regulations-for-Cloud-Health-IT-Services">
  <title><![CDATA[A Semantically Rich Knowledge Graph to Automate HIPAA Regulations for Cloud Health IT Services]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/976/A-Semantically-Rich-Knowledge-Graph-to-Automate-HIPAA-Regulations-for-Cloud-Health-IT-Services</link>
  <description><![CDATA[As healthcare organizations adopt cloud-based services to manage their patient data, compliance with the rules and policies of the Health Insurance Portability and Accountability Act (HIPAA) regulation becomes increasingly complex. At present, HIPAA rules are available only in large textual format and require significant human effort to implement in the Health IT systems. Moreover, every change in the regulation, like the recent relaxation in telehealth policy due to the COVID-19 pandemic, ha...]]></description>
  <dc:date>2021-05-15</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/947/A-Framework-for-Situation-Aware-Access-Control-in-Federated-Data-as-a-Service-Systems-Based-on-Query-Rewriting">
  <title><![CDATA[A Framework for Situation-Aware Access Control in Federated Data-as-a-Service Systems Based on Query Rewriting]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/947/A-Framework-for-Situation-Aware-Access-Control-in-Federated-Data-as-a-Service-Systems-Based-on-Query-Rewriting</link>
  <description><![CDATA[Organizations often need to share mission dependent data in a secure and flexible way. Examples include contact tracing for a contagious disease such as COVID-19, maritime search and rescue operations, or creating a collaborative bid for a contract. In such examples, the ability to access data may need to change dynamically, depending on the situation of a mission (e.g., whether a person tested positive for a disease, a ship is in distress, or a bid offer with given properties needs to be cre...]]></description>
  <dc:date>2020-10-19</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/924/Independent-Component-Analysis-for-Trustworthy-Cyberspace-during-High-Impact-Events-An-Application-to-Covid-19">
  <title><![CDATA[Independent Component Analysis for Trustworthy Cyberspace during High Impact Events: An Application to Covid-19]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/924/Independent-Component-Analysis-for-Trustworthy-Cyberspace-during-High-Impact-Events-An-Application-to-Covid-19</link>
  <description><![CDATA[Social media has become an important communication channel during high impact events, such as the COVID-19 pandemic. As misinformation in social media can rapidly spread, creating social unrest, curtailing the spread of misinformation during such events is a significant data challenge. While recent solutions that are based on machine learning have shown promise for the detection of misinformation, most widely used methods include approaches that rely on either handcrafted features that cannot...]]></description>
  <dc:date>2020-06-01</dc:date>
 </item>
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